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Robert Godwin-Jones – Language Learning & Technology, 2025
Less commonly taught languages (LCTLs) have traditionally lagged behind in terms of the availability of learning/teaching materials and of appropriate pedagogical models. For many languages, online tools, courses, and digital archives have been developed in recent years that offer opportunities for both formal instruction and self-study. Now the…
Descriptors: Technology Integration, Second Language Instruction, Language Minorities, Artificial Intelligence
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Chun Lai; Boning Lyu; Lianjiang Jiang; Yang Gong – Language Learning & Technology, 2025
Teachers' role identities shape their teaching practices. However, research on the interplay between language teachers' role identities and classroom technology integration is rather limited. Based on interview responses and classroom observations of eight K-12 language teachers, this study revealed two contrastive forms of role identities that…
Descriptors: Language Teachers, Professional Identity, Elementary Secondary Education, Teacher Role
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Shu Zhou; Gerhardus D. Du Preez – Language Learning & Technology, 2025
This study examines the potential of ChatGPT to enhance grammar development in an academic writing context, where grammar instruction is often overlooked. Adopting a qualitative case study, this research explores how a localized version of ChatGPT can assist first-year undergraduate students in improving their grammar in writing tasks. The study…
Descriptors: Grammar, Writing Instruction, Artificial Intelligence, Computer Software
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Hoa T. Vinh Le; Nicole Ziegler – Language Learning & Technology, 2025
Numerous empirical studies and syntheses have explored technology-mediated task-based language teaching (TMTBLT) (for example, Chong & Reinders, 2020; Kim & Namkung, 2024; Lai & Li, 2011; Ziegler, 2016), with findings highlighting the affordances of technology for interaction and its associated benefits. However, few studies have…
Descriptors: Blended Learning, Teaching Methods, Task Analysis, Second Language Learning
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Dennis Murphy Odo – Language Learning & Technology, 2025
There is currently limited investigation of readers' comprehension of AI simplified text from the perspective of educators, but such research can help to more effectively address the specific needs and perspectives of language teachers and learners regarding the comprehensibility of AI simplified text. Therefore, the purpose of this study was to…
Descriptors: Reading Comprehension, Artificial Intelligence, Computer Software, Technology Integration